while [ -L "$TARGET_FILE" ]; do
		TARGET_FILE=$(env readlink $TARGET_FILE)
		cd $(dirname $TARGET_FILE)
		TARGET_FILE=$(basename $TARGET_FILE)
	done

	# Compute the canonicalized name by finding the physical path
	# for the directory we're in and appending the target file.
	PHYS_DIR=$(pwd -P)
	RESULT=$PHYS_DIR/$TARGET_FILE
	echo $RESULT
}

## FIXME:
## In OSX, 'sort -V' option does not exist, hence

	ServerPorts []ServerPort

	// MergedServers map from physical port to virtual servers
	// using TCP protocols (like HTTP1.1, H2, mysql, redis etc)
	MergedServers map[ServerPort]*MergedServers

	// MergedQUICTransportServers map from physical port to servers listening
	// on QUIC (like HTTP3). Currently the support is experimental and
	// is limited to HTTP3 only

// TPU cluster.
// TPU_REPLICATED_HOST_{core} is the host that corresponds to the TPU core.
// Different TPU_REPLICATED_HOST_*s can map to the same physical host within the
// same replica. Also, TPU_REPLICATE_HOST_{core} in different replicas can map
// to the same physical host. For example, if there are 2 hosts, num_replicas=8,
// and num_cores_per_replica=2, then all cores in the first 4 replicas will map

    a) Convey the object code in, or embodied in, a physical product
    (including a physical distribution medium), accompanied by the
    Corresponding Source fixed on a durable physical medium
    customarily used for software interchange.

    b) Convey the object code in, or embodied in, a physical product
    (including a physical distribution medium), accompanied by a

  let constructor = "TFTPU::CreateTPUColocateCompositeResourceOps()";
  let description = [{
    Pass that co-locates resource ops that use composite device resources
    (packed tensors) with the underlying physical TPU device.

    So for example, if we have a function that does (inside a `tf_device.replicate`):

    ```mlir
      %0 = "tf.ReadVariableOp"(%arg1) : (tensor<*x!tf_type.resource<tensor<4xf32>>>) -> tensor<4xf32>

  let summary = [{
V2 format specific: merges the metadata files of sharded checkpoints.  The
  }];

  let description = [{
result is one logical checkpoint, with one physical metadata file and renamed
data files.

Intended for "grouping" multiple checkpoints in a sharded checkpoint setup.

If delete_old_dirs is true, attempts to delete recursively the dirname of each

	return false
}

func (w *response) Header() Header {
	if w.cw.header == nil && w.wroteHeader && !w.cw.wroteHeader {
		// Accessing the header between logically writing it
		// and physically writing it means we need to allocate
		// a clone to snapshot the logically written state.
		w.cw.header = w.handlerHeader.Clone()
	}
	w.calledHeader = true
	return w.handlerHeader
}

	}

	// Note: we leave pod containers to be reclaimed in the background since dockershim requires the
	// container for retrieving logs and we want to make sure logs are available until the pod is
	// physically deleted.

	// remove any cgroups in the hierarchy for pods that are no longer running.
	if kl.cgroupsPerQOS {
		pcm := kl.containerManager.NewPodContainerManager()
		name, _ := pcm.GetPodContainerName(pod)

			defer cancel()
			informerFactory.Start(ctx.Done())
			informerFactory.WaitForCacheSync(ctx.Done())

			if tt.deletePod {
				// Simulate that the test pod gets deleted physically.
				informerFactory.Core().V1().Pods().Informer().GetStore().Delete(tt.podInfo.Pod)
			}

			q.AddNominatedPod(logger, tt.podInfo, nil)